DevOps Maturity Model – Telstra DevOps Implementation

In this post, you will get a quick glimpse of how Telstra successfully rolled out DevOps across the entire organization (170 teams). The details have been taken from this post. You could use the details given below to lay out the maturity model for DevOps implementation in your organization.

The following is the DevOps Maturity Model which Telstra team looks to have worked upon:

Here are the key aspects of the DevOps practice (implementation) vis-a-vis maturity model:

Ad-hoc implementations

Teams across the organization doing ad-hoc implementations

Different tools & framework used across different teams

Different processes followed

Teams do not seem to have a proper understanding of what is DevOps, benefits of DevOps etc.

Proof-of-concept implementations

DevOps implementation planned

Tools & processes chosen

3-4 teams chosen

Teams mentored

Implementation is done and lessons learned

Org-wide Adoption

Mentoring sessions across the organization

DevOps rolled out for all the teams

DevOps implementations governed & reported

Sustained & Repeatable DevOps

Sustained DevOps implementation across different teams

DevOps Governance

Tracking & reporting

Optimized DevOps

Lessons learned using continuous feedback is incorporated back to improve the DevOps implementations

The appropriate mix of tools & frameworks used for optimized outcomes

Development processes updated to optimize DevOps outcomes

References

Summary

In this post, you learned about a sample DevOps maturity model which looks to have been implemented at Telstra. The DevOps implementation faces several challenges such as doing POC, training & mentoring, convincing executive management, making sustained & repeatable DevOps. Most importantly, there must be put a governance framework to monitor/track ongoing DevOps implementation across the organization to achieve sustainability and repeatability.

Ajitesh has been recently working in the area of AI and machine learning. Currently, his research area includes Safe & Quality AI. In addition, he is also passionate about various different technologies including programming languages such as Java/JEE, Javascript and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data etc.